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新研究利用卫星和地面图像解决三维场景重建问题

作者 PulseAugur 编辑部 · [2 个来源] ·

两篇新研究论文于2026年8月下旬提交至arXiv，介绍了使用卫星和地面图像进行三维场景重建的先进方法。第一篇论文《Ground-to-Satellite Localization in Unconstrained Image Collections for 3D Scene Reconstruction》提出了一个分层框架，利用Structure-from-Motion模型将地面图像与卫星视图对齐，从而实现精确的度量尺度估计和地理定位。第二篇论文《GeoRay: Gauge-Aware Feed-Forward Satellite 3D Reconstruction in the Geodetic Frame》提出了一种前馈模型，可在绝对大地坐标系中重建密集表面，解决了量规模糊和非中心有理多项式相机等挑战。该方法在US3D基准测试中取得了高精度和高完整性。 AI

影响 这些进展有望显著提高三维场景重建的准确性和完整性，应用于城市规划和地理空间分析等领域。

排序理由 两篇发表在arXiv上的学术论文，详细介绍了三维场景重建的新方法。

在 arXiv cs.CV 阅读 →

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新研究利用卫星和地面图像解决三维场景重建问题

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两篇发表在arXiv上的学术论文，详细介绍了三维场景重建的新方法。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Angel Daruna, Ben Southall, Niluthpol Chowdhury Mithun, Kshitij Minhas, Nicholas Meegan, Qiao Wang, Bogdan Matei, Supun Samarasekera, Rakesh Kumar ·

    用于3D场景重建的无约束图像集合中的地面到卫星定位

    arXiv:2608.29211v1 Announce Type: new Abstract: Ground image localization with respect to satellite imagery is a key enabler for metrically-accurate, geo-localized 3D scene reconstruction from unconstrained image collections. Existing cross-view localization methods have strict r…

  2. arXiv cs.CV TIER_1 English(EN) · Zhe Dong, Wanqing Wu, Yuzhe Sun, Haochen Jiang, Yuchen Ma, Lecheng Ren, Tianzhu Liu, Yanfeng Gu ·

    GeoRay: 地理坐标系下具有测量感知的前馈卫星三维重建

    arXiv:2608.29680v1 Announce Type: new Abstract: Feed-forward 3D foundation models reconstruct perspective scenes in one pass. Satellite photogrammetry needs a different product, one that domain adaptation alone does not deliver: dense surface height in an absolute geodetic frame …

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